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Paintings mixing system for plastic arts

Paintings mixing system for plastic arts. Bachelor’s degree on Electronics Engineering final term project School of Engineering, Javeriana University. Presented by: Ángela Patricia Hoyos Gómez Director: Carlos Alberto Parra Rodríguez, Electronics Engineer, PHD

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Paintings mixing system for plastic arts

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  1. Paintings mixing system for plastic arts Bachelor’s degree on Electronics Engineering final term project School of Engineering, Javeriana University Presented by: Ángela Patricia Hoyos Gómez Director: Carlos Alberto Parra Rodríguez, Electronics Engineer, PHD Collaborators: César Bustacara, Martha Manrique and Juan Daniel Hernández Vega, Engineers.

  2. Historical background about color and technology in the field of plastic arts Harold Cohen, former director of the CRCA at Stanford University and Aaron, his“painting-robot”

  3. Block diagram of the system developed Input : random color sample Input : color sample selected from a virtual catalogue 16 secondary colors and 11 thirds colors Color sensor Analysis of the color sample using Matlab-Lingo Percentage of primary colors in the sample hue, saturation and intensity values of the sample Electro-mechanical system of mixing paintings in the three primary colors Output: 20 ml of the painting in the same color of the input

  4. Methodology used and development of the system

  5. The type of painting chosen for the system Positive aspects of using watercolors: primary colors CMY found Low viscosity Easy to clean ‘Ecolín’ Liquid watercolor brand Low cost $5600 per bottle of 500 cc • Limitations: • To be used with watercolor paper, or cardboard • Transparency characteristics • Other possible choices: Acrylic, Gouache ,oils ,different pigments, and solvents

  6. The HSI model related to a traditional method of mixing paintings

  7. Numeric method of mixing paintings: Concentrations varying from 10% to 10% Secondary colors

  8. Color Mapping of the samples Detection of signals: A regular distribution of the reference signals and other signals close to these references Color samples identification: Polygonal areas of different sizes between the reference colors The visible spectrum: Irregular distribution of the colors in the spectrum Establishing relationships between colors

  9. Possible development of the mixing system Using timers and controlling the flow of the watercolor painting Using pneumatic systems Dosing system implemented taking in account the number of pulses discharged of each color

  10. Hardware of the system implemented Two 8 bits words with information about the percentages of C,M,Y to be mixed On/Off control signals of the electromechanical system Serial Tx PIC Microcontroller Valves & Pneumatic cylinders Feedback signals of the movement of the cylinders

  11. Check valve Body of the valve Gates Checks

  12. Conclusions: results and initial goals • Numerical analysis method • Initial goal, studying 16 colors => finally 48 samples of color were studied • + A random sample of color could be mapped on the HSI color space • => This color space offers a more human perception of color than the RGB color space. • The electromechanical system was fully developed • Precision was reached using the counting pulses method. It allows the system to extend the number of colors to be prepared. • Financial costs were reduced by the design of the check valve and the use of pneumatic elements.

  13. New questions and possible future developments SWR and HWR: Implementing color analysis and the electromechanical system for quality control, in paintings related industries lacking of it, in Colombia - i.e Roseta Co. , IMA S.A Research on color theory: Cross-disciplinary research group (Physics, Arts, Engineering, Medicine Schools)

  14. References the world's finest guideto watercolor painting Bruce McEvoy Color chapters of books about image processing www.handprint.com Bibliography of the course ‘Color’ of the Visual Arts Department PUJ PUJ Industrial Automation Technological Center

  15. ¡Thank you!

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